class_docstr: Return conditioned Behavior cloning agent.
code: def _create_wrapped_network(self):
      min_return, max_return = self._replay.min_max_returns
      self.wrapped_network_def = WrappedNetworkDef(
          self.network_def, min_return, max_return
      )
  
imports: import functools
  from absl import logging
  from dopamine.jax import losses
  from dopamine.jax.agents.dqn import dqn_agent
  from dopamine.jax.agents.rainbow import rainbow_agent
  from dopamine.labs.offline_rl.jax import offline_rainbow_agent
  import gin
  import jax
  import jax.numpy
  import numpy
  import optax
  import tensorflow
label_desc: Use image node_id 4 for calling the JaxReturnConditionedBCAgent obj's underlying member method code with example usage: obj._create_wrapped_network() without return types